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Photoplethysmography-based estimation of heart rate recovery using a wrist-worn device

机译:使用腕戴式设备基于光体积描记法估算心率

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Estimation of pulse rate from photoplethysmogram (PPG) signals has led to a breakthrough in a smart wristband technology. This study introduces a method for estimating heart rate recovery (HRR) using a custom-made wrist-worn device, capable of acquiring instantaneous pulse rate, as well as a consumer smart wristband, which provides pulse rate at intervals of 5 s or longer. The feasibility to estimate HRR parameters using the PPG-based devices was assessed by comparing to the synchronously acquired reference electrocardiogram. Three HRR parameters were studied on pulse rate data, obtained from 22 healthy participants, instructed to perform standardized stair climbing test. Study findings show that HRR parameters, estimated using the wrist-worn device, are associated with twice lower absolute error compared to the consumer smart wristband, emphasizing the importance of an instantaneous pulse rate to ensure a sufficiently accurate parameter estimation.
机译:根据光电容积脉搏波(PPG)信号估算脉搏率已导致智能腕带技术的突破。这项研究介绍了一种使用定制的腕戴式设备估算心率恢复(HRR)的方法,该设备能够获取瞬时脉搏率,而消费类智能腕带则可提供5 s或更长时间间隔的脉搏率。通过与同步采集的参考心电图进行比较,评估了使用基于PPG的设备估算HRR参数的可行性。从22位健康参与者获得的脉搏率数据中研究了三个HRR参数,并指示他们进行标准化的楼梯爬升测试。研究发现表明,与穿戴式智能腕带相比,使用腕戴式设备估算的HRR参数与绝对误差相比要低两倍,从而强调了瞬时脉冲频率对确保足够准确的参数估算的重要性。

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